19 September 2014 Wavelet-domain de-noising technique for THz pulsed spectroscopy
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Abstract
De-noising of terahertz (THz) pulsed spectroscopy (TPS) data is an essential problem, since a noise in the TPS system data prevents correct reconstruction of the sample spectral dielectric properties and to perform the sample internal structure studying. There are certain regions in TPS signal Fourier spectrum, where Fourier-domain signal-to-noise ratio is relatively small. Effective de-noising might potentially expand the range of spectrometer spectral sensitivity and reduce the time of waveform registration, which is an essential problem for biomedical applications of TPS. In this work, it is shown how the recent progress in signal processing in wavelet-domain could be used for TPS waveforms de-noising. It demonstrates the ability to perform effective de-noising of TPS data using the algorithm of the Fast Wavelet Transform (FWT). The results of the optimal wavelet basis selection and wavelet-domain thresholding technique selection are reported. Developed technique is implemented for reconstruction of in vivo healthy and deseased skin samplesspectral characteristics at THz frequency range.
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Nikita V. Chernomyrdin, Nikita V. Chernomyrdin, Kirill I. Zaytsev, Kirill I. Zaytsev, Arsenii A. Gavdush, Arsenii A. Gavdush, Irina N. Fokina, Irina N. Fokina, Valeriy E. Karasik, Valeriy E. Karasik, Igor V. Reshetov, Igor V. Reshetov, Konstantin G. Kudrin, Konstantin G. Kudrin, Pavel A. Nosov, Pavel A. Nosov, Stanislav O. Yurchenko, Stanislav O. Yurchenko, } "Wavelet-domain de-noising technique for THz pulsed spectroscopy", Proc. SPIE 9216, Optics and Photonics for Information Processing VIII, 921611 (19 September 2014); doi: 10.1117/12.2061276; https://doi.org/10.1117/12.2061276
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